Wa> On 10 Jul 2003, Gorazd Brumen wrote:
> >
> > >> Date: 10 Jul 2003 12:54:46 +0200 From: Gorazd Brumen
> > >> <[EMAIL PROTECTED]> To: [EMAIL PROTECTED]
> > >> Subject: [R] Simple linear regression
> > >>
> > >>
Wa> On 10 Jul 2003, Gorazd Brumen wrote:
>
> >> Date: 10 Jul 2003 12:54:46 +0200 From: Gorazd Brumen
> >> <[EMAIL PROTECTED]> To: [EMAIL PROTECTED]
> >> Subject: [R] Simple linear regression
> >>
> >> Dear all,
>
From: Gorazd Brumen
>> <[EMAIL PROTECTED]> To: [EMAIL PROTECTED]
>> Subject: [R] Simple linear regression
>>
>> Dear all,
>>
>> My friend wants to fit a model of the type
>>
>> z = a x^n y^m + b,
>>
Try:
?lm
On 10 Jul 2003, Gorazd Brumen wrote:
> Date: 10 Jul 2003 12:54:46 +0200
> From: Gorazd Brumen <[EMAIL PROTECTED]>
> To: [EMAIL PROTECTED]
> Subject: [R] Simple linear regression
>
> Dear all,
>
> My friend wants to fit a model of the type
>
> z
Dear all,
My friend wants to fit a model of the type
z = a x^n y^m + b,
where x, y, z are data and a, b, n, m are unknown parameters.
How can he transform this to fit in the linear regression framework?
Any help would be appreciated.
With regards,
Gorazd Brumen
--
Mail 1: [EMAIL PROTECTED
